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Patrick Turley

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Silvia H. Barcellos & Leandro Carvalho & Kenneth Langa & Sneha Nimmagadda & Patrick Turley, 2025. "Education and Dementia Risk," NBER Working Papers 33430, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mohammad Abdullah Al Faisal, 2025. "The Role of Informal Care in Cognitive Outcome and Healthcare Utilization Among Older Adults with Dementia," Papers 2509.18468, arXiv.org.
    2. Nguyen, Thao Le & Schmitz, Hendrik, 2026. "Education as a moderator of genetic mortality risk," Ruhr Economic Papers 1208, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  2. Daniel J. Benjamin & David Cesarini & Patrick Turley & Alexander Strudwick Young, 2024. "Social-Science Genomics: Progress, Challenges, and Future Directions," NBER Working Papers 32404, National Bureau of Economic Research, Inc.

    Cited by:

    1. Nicolau Martin-Bassols & Pietro Biroli & Elisabetta De Cao & Massimo Anelli & Stephanie von Hinke & Silvia Mendolia, 2026. "Tracing the Genetic Footprints of the UK National Health Service," Papers 2602.03751, arXiv.org.
    2. Meli, Francesca, 2026. "The Role of Genetic Predisposition for Chronotype in Academic Performance," EconStor Preprints 337666, ZBW - Leibniz Information Centre for Economics.
    3. Martin-Bassols, Nicolau & de New, John P. & de New, Sonja C. & Wong, Clement C., 2026. "Socioeconomic advantage as protection from genetic mental health risks," Social Science & Medicine, Elsevier, vol. 391(C).
    4. Pietro Biroli & Deborah Ann Cobb-Clark & Conchita D'Ambrosio & Divya Mehta & Giorgia Menta, 2025. "Aggregating epigenetic clocks to study human capital formation," IFS Working Papers W25/45, Institute for Fiscal Studies.
    5. Francesca Meli, 2026. "The Role of Genetic Predisposition for Chronotype in Academic Performance," Bristol Economics Discussion Papers 26/825, School of Economics, University of Bristol, UK.
    6. Richard Karlsson Linnér & Manisha Jain, 2025. "“The risks cannot be compensated”: The willingness to donate DNA for science and its relationship with economic preferences," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 515-547, May.

  3. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.

    Cited by:

    1. Markus Gehrsitz & Morgan C. Williams, "undated". "The Effects of Compulsory Schooling on Health and Hospitalization over the Life Cycle," Working Papers 2303, University of Strathclyde Business School, Department of Economics, revised May 2020.
    2. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    3. Bolt, U. & French, E. & Warrier, V. & Yang, Q. & Zhang, W., 2025. "Genetic Endowments and Lifetime Earnings: Understanding the Mechanisms," Cambridge Working Papers in Economics 2547, Faculty of Economics, University of Cambridge.
    4. Gehrsitz, Markus & Williams, Jr., Morgan C., 2024. "The Effects of Compulsory Schooling on Health and Hospitalization over the Life Cycle," IZA Discussion Papers 17050, IZA Network @ LISER.
    5. Luís Felipe Fontes & Matías Mrejen & Beatriz Rache & Rudi Rocha, 2022. "Economic Distress and Children's Mental Health: Evidence from the Brazilian High Risk Cohort Study for Mental Conditions," Working Papers 15, Instituto de Estudos para Políticas de Saúde.
    6. Nicola Barban & Elisabetta De Cao & Marco Francesconi, 2021. "Gene-Environment Effects on Female Fertility," CESifo Working Paper Series 9337, CESifo.
    7. Dilnoza Muslimova & Niels Rietveld, 2025. "Gene-environment interplay and public policies," Papers 2503.22441, arXiv.org, revised Jul 2025.

  4. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2019. "Distributional Effects of Education on Health," NBER Working Papers 25898, National Bureau of Economic Research, Inc.

    Cited by:

    1. Meredith M. Paker, 2025. "Review of periodical literature for 2023: (vi) 1945 to present," Economic History Review, Economic History Society, vol. 78(1), pages 387-397, February.
    2. Propper, Carol & Janke, Katharina & Johnston, David & Shields, Michael A, 2019. "The causal effect of education on chronic health conditions in the UK," CEPR Discussion Papers 14084, Centre for Economic Policy Research.
    3. Michael Geruso & Heather Royer, 2018. "The Impact of Education on Family Formation: Quasi-Experimental Evidence from the UK," NBER Working Papers 24332, National Bureau of Economic Research, Inc.
    4. Teresa Barbieri & Vito Peragine & Michele Raitano, 2025. "The effect of education on earnings dynamics: evidence from Italy," SERIES 03-2025, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2025.
    5. Ma, Qingshan & Han, Yuqing & Chen, Mingcong & Hu, Feng & Zhou, Haiyan, 2026. "The impact of a large-scale chronic disease prevention and control program on the health benefits of older adults: Evidence from a natural experiment in China," China Economic Review, Elsevier, vol. 95(C).

  5. Richard Karlsson Linnér & Pietro Biroli & Edward Kong & S. Fleur W. Meddens & Robee Wedow & Mark Alan Fontana & Maël Lebreton & Abdel Abdellaoui & Anke R. Hammerschlag & Michel G. Nivard & Aysu Okba, 2018. "Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences," Working Papers 2018-087, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. John List & Ragan Petrie & Anya Samek, 2021. "How Experiments with Children Inform Economics," Artefactual Field Experiments 00729, The Field Experiments Website.
    2. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2020. "Genetic Risks, Adolescent Health and Schooling Attainment," PIER Working Paper Archive 20-024, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Angerer, Silvia & Dutcher, E. Glenn & Glätzle-Rützler, Daniela & Lergetporer, Philipp & Sutter, Matthias, 2021. "The Formation of Risk Preferences through Small-Scale Events," IZA Discussion Papers 14679, IZA Network @ LISER.
    4. Jason M. Fletcher & Qiongshi Lu, 2021. "Health policy and genetic endowments: Understanding sources of response to Minimum Legal Drinking Age laws," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 194-203, January.
    5. Giorgia Menta & Anthony Lepinteur & Andrew E Clark & Simone Ghislandi & Conchita d'Ambrosio, 2021. "Maternal depression and child human capital: A genetic instrumental-variable approach," Working Papers halshs-03157270, HAL.
    6. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    7. Chowdhury, Shyamal & Sutter, Matthias & Zimmermann, Klaus F., 2020. "Economic preferences across generations and family clusters: A large-scale experiment," GLO Discussion Paper Series 592, Global Labor Organization (GLO).
    8. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    9. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Index and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.
    10. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    11. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    12. Nicola Barban & Elisabetta De Cao & Marco Francesconi, 2021. "Gene-Environment Effects on Female Fertility," CESifo Working Paper Series 9337, CESifo.

  6. David A. Bennett & Klaus Berger & Lars Bertram & Hans Bisgaard & Dorret I. Boomsma & Ingrid B. Borecki & Ute Bültmann & Christopher F. Chabris & Francesco Cucca & Daniele Cusi & Ian J. Deary & George , 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Post-Print hal-02017372, HAL.

    Cited by:

    1. Michaela Paffenholz, 2023. "Adolescents’ Mental Health and Human Capital: The Role of Socioeconomic Rank," CESifo Working Paper Series 10248, CESifo.
    2. Ronald de Vlaming & Aysu Okbay & Cornelius A Rietveld & Magnus Johannesson & Patrik K E Magnusson & André G Uitterlinden & Frank J A van Rooij & Albert Hofman & Patrick J F Groenen & A Roy Thurik & Ph, 2017. "Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies," PLOS Genetics, Public Library of Science, vol. 13(1), pages 1-23, January.
    3. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    4. Jung, Dawoon & Lee, Jinkook & Meijer, Erik, 2022. "Revisiting the effect of retirement on Cognition: Heterogeneity and endowment," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
    5. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Elovainio, Marko & Hutri-Kähönen, Nina & Juonala, Markus & Lehtimäki, Terho & Pahkala, Katja & Rovio, Suvi & Pulkki-Råback, Laura & Raitakari, Ol, 2020. "Do childhood infections affect labour market outcomes in adulthood and, if so, how?," Economics & Human Biology, Elsevier, vol. 37(C).
    6. Evelina T. Akimova & Tobias Wolfram & Xuejie Ding & Felix C. Tropf & Melinda C. Mills, 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," Nature Human Behaviour, Nature, vol. 9(2), pages 391-405, February.
    7. A. Roy Thurik & David B. Audretsch & Jörn H. Block & Andrew Burke & Martin A. Carree & Marcus Dejardin & Cornelius A. Rietveld & Mark Sanders & Ute Stephan & Johan Wiklund, 2024. "The impact of entrepreneurship research on other academic fields," Small Business Economics, Springer, vol. 62(2), pages 727-751, February.
    8. Nicholas W. Papageorge & Kevin Thom, 2017. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Upjohn Working Papers 17-273, W.E. Upjohn Institute for Employment Research.
    9. Hyeokmoon Kweon & Casper A. P. Burik & Yuchen Ning & Rafael Ahlskog & Charley Xia & Erik Abner & Yanchun Bao & Laxmi Bhatta & Tariq O. Faquih & Maud Feijter & Paul Fisher & Andrea Gelemanović & Alexan, 2025. "Associations between common genetic variants and income provide insights about the socio-economic health gradient," Nature Human Behaviour, Nature, vol. 9(4), pages 794-805, April.
    10. Gerard J. van den Berg & Stephanie von Hinke & Nicolai Vitt, 2023. "Early life exposure to measles and later-life outcomes: Evidence from the introduction of a vaccine," Bristol Economics Discussion Papers 23/776, School of Economics, University of Bristol, UK.
    11. Akimova, Evelina T. & Wolfram, Tobias & Ding, Xuejie & Tropf, Felix C. & Mills, Melinda C., 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(Febuary), pages 391-405.
    12. Hans Kippersluis & Pietro Biroli & Rita Dias Pereira & Titus J. Galama & Stephanie Hinke & S. Fleur W. Meddens & Dilnoza Muslimova & Eric A. W. Slob & Ronald Vlaming & Cornelius A. Rietveld, 2023. "Overcoming attenuation bias in regressions using polygenic indices," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    13. Lauren L. Schmitz & Dalton Conley, 2016. "The Effect of Vietnam-Era Conscription and Genetic Potential for Educational Attainment on Schooling Outcomes," NBER Working Papers 22393, National Bureau of Economic Research, Inc.
    14. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    15. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    16. Stephanie von Hinke & Emil Sorensen, 2022. "The Long-Term Effects of Early-Life Pollution Exposure: Evidence from the London Smog," Bristol Economics Discussion Papers 22/757, School of Economics, University of Bristol, UK.
    17. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    18. Bierut, Laura & Biroli, Pietro & Galama, Titus J. & Thom, Kevin, 2023. "Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking," Journal of Economic Psychology, Elsevier, vol. 98(C).
    19. Elham Assary & Jonathan R. I. Coleman & Gibran Hemani & Margot P. Weijer & Laurence J. Howe & Teemu Palviainen & Katrina L. Grasby & Rafael Ahlskog & Marianne Nygaard & Rosa Cheesman & Kai Lim & Chand, 2025. "Genetics of monozygotic twins reveals the impact of environmental sensitivity on psychiatric and neurodevelopmental phenotypes," Nature Human Behaviour, Nature, vol. 9(8), pages 1683-1696, August.
    20. Jonsdottir, Gudrun A. & Einarsson, Gudmundur & Thorleifsson, Gudmar & Magnusson, Sigurdur H. & Gunnarsson, Arni F. & Frigge, Michael L. & Gisladottir, Rosa S. & Unnsteinsdottir, Unnur & Gunnarsson, Bj, 2021. "Genetic propensities for verbal and spatial ability have opposite effects on body mass index and risk of schizophrenia," Intelligence, Elsevier, vol. 88(C).
    21. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    22. Meli, Francesca, 2026. "The Role of Genetic Predisposition for Chronotype in Academic Performance," EconStor Preprints 337666, ZBW - Leibniz Information Centre for Economics.
    23. Lee, James J. & McGue, Matt & Iacono, William G. & Michael, Andrew M. & Chabris, Christopher F., 2019. "The causal influence of brain size on human intelligence: Evidence from within-family phenotypic associations and GWAS modeling," Intelligence, Elsevier, vol. 75(C), pages 48-58.
    24. Victor Ronda & Esben Agerbo & Dorthe Bleses & Preben Bo Mortensen & Anders Børglum & Ole Mors & Michael Rosholm & David M. Hougaard & Merete Nordentoft & Thomas Werge, 2022. "Family disadvantage, gender, and the returns to genetic human capital," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 550-578, April.
    25. Shelly Lundberg & Aloysius Siow, 2017. "Canadian contributions to family economics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1304-1323, December.
    26. Bia, Michela & Menta, Giorgia & Huber, Martin & D'Ambrosio, Conchita, 2026. "Harnessing Genetic Variants for Local Average Treatment Effect Estimation," IZA Discussion Papers 18595, IZA Network @ LISER.
    27. Brooke M Huibregtse & Breanne L Newell-Stamper & Benjamin W Domingue & Jason D Boardman & Anna Zajacova, 2021. "Genes Related to Education Predict Frailty Among Older Adults in the United States [Genetic analysis of social-class mobility in five longitudinal studies]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 173-183.
    28. Ronaldo N. Verano, PhD, 2024. "Level of Competence of Teachers in Filipino in the 2013 Filipino Orthography: Basis for Crafting Lesson Exemplars in Teaching Orthographic Rules," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 5548-5621, November.
    29. Mitchell, Brittany L. & Hansell, Narelle K. & McAloney, Kerrie & Martin, Nicholas G. & Wright, Margaret J. & Renteria, Miguel E. & Grasby, Katrina L., 2022. "Polygenic influences associated with adolescent cognitive skills," Intelligence, Elsevier, vol. 94(C).
    30. Shiyang Gong & Qian Li & Song Su & Juanjuan Zhang, 2024. "Genes and Sales," Management Science, INFORMS, vol. 70(6), pages 3902-3922, June.
    31. Lucía de Hoyos & Maria T. Barendse & Fenja Schlag & Marjolein M. J. van Donkelaar & Ellen Verhoef & Chin Yang Shapland & Alexander Klassmann & Jan Buitelaar & Brad Verhulst & Simon E. Fisher & Dheeraj, 2024. "Structural models of genome-wide covariance identify multiple common dimensions in autism," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    32. Morten Dybdahl Krebs & Gonçalo Espregueira Themudo & Michael Eriksen Benros & Ole Mors & Anders D. Børglum & David Hougaard & Preben Bo Mortensen & Merete Nordentoft & Michael J. Gandal & Chun Chieh F, 2021. "Associations between patterns in comorbid diagnostic trajectories of individuals with schizophrenia and etiological factors," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    33. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    34. Cawley, John & Han, Euna & Kim, Jiyoon & Norton, Edward C., 2023. "Genetic nurture in educational attainment," Economics & Human Biology, Elsevier, vol. 49(C).
    35. Robin Chark & Songfa Zhong & Shui Ying Tsang & Chiea Chuen Khor & Richard P. Ebstein & Hong Xue & Soo Hong Chew, 2022. "A gene–brain–behavior basis for familiarity bias in source preference," Theory and Decision, Springer, vol. 92(3), pages 531-567, April.
    36. Edwards, Tobias & Dawes, Christopher T. & Willoughby, Emily A. & McGue, Matt & Lee, James J., 2025. "More than g: Verbal and performance IQ as predictors of socio-political attitudes," Intelligence, Elsevier, vol. 108(C).
    37. Chris Bidner & John Knowles, 2018. "Matching for Social Mobility with Unobserved Heritable Characteristics," Discussion Papers dp18-05, Department of Economics, Simon Fraser University.
    38. Ghirardi, Gaia, 2025. "The development of body mass index from adolescence to adulthood: A genotype-family socioeconomic status interaction study," Social Science & Medicine, Elsevier, vol. 384(C).
    39. Bhatnagar, Sahir R. & Lu, Tianyuan & Lovato, Amanda & Olds, David L. & Kobor, Michael S. & Meaney, Michael J. & O'Donnell, Kieran & Yang, Archer Y. & Greenwood, Celia M.T., 2023. "A sparse additive model for high-dimensional interactions with an exposure variable," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    40. Nieuwenhuis, Jaap & Kleinepier, Tom & van Ham, Maarten, 2019. "Neighbourhood and School Poverty Simultaneously Predicting Educational Achievement, Taking into Account Timing and Duration of Exposure," IZA Discussion Papers 12396, IZA Network @ LISER.
    41. Francesca Meli, 2026. "The Role of Genetic Predisposition for Chronotype in Academic Performance," Bristol Economics Discussion Papers 26/825, School of Economics, University of Bristol, UK.
    42. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    43. Tzu-Ting Chen & Jaeyoung Kim & Max Lam & Yi-Fang Chuang & Yen-Ling Chiu & Shu-Chin Lin & Sang-Hyuk Jung & Beomsu Kim & Soyeon Kim & Chamlee Cho & Injeong Shim & Sanghyeon Park & Yeeun Ahn & Aysu Okbay, 2024. "Shared genetic architectures of educational attainment in East Asian and European populations," Nature Human Behaviour, Nature, vol. 8(3), pages 562-575, March.
    44. Mathias Seviiri & Matthew H. Law & Jue-Sheng Ong & Puya Gharahkhani & Pierre Fontanillas & Catherine M. Olsen & David C. Whiteman & Stuart MacGregor, 2022. "A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinoma," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    45. Melanie Goisauf & Kaya Akyüz & Gillian M. Martin, 2020. "Moving back to the future of big data-driven research: reflecting on the social in genomics," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    46. Md. Moksedul Momin & Jisu Shin & Soohyun Lee & Buu Truong & Beben Benyamin & S. Hong Lee, 2023. "A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    47. Gianmarco Mignogna & Caitlin E. Carey & Robbee Wedow & Nikolas Baya & Mattia Cordioli & Nicola Pirastu & Rino Bellocco & Kathryn Fiuza Malerbi & Michel G. Nivard & Benjamin M. Neale & Raymond K. Walte, 2023. "Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci," Nature Human Behaviour, Nature, vol. 7(8), pages 1371-1387, August.
    48. Abdellaoui, Abdel & Martin, Hilary C. & Rutherford, Adam & Kolk, Martin & Muthukrishna, Michael & Tropf, Felix & Mills, Melinda C. & Zietsch, Brendan & Verweij, Karin J.H. & Visscher, Peter M., 2025. "Socio-economic status is a social construct with heritable components and genetic consequences: a social construct with heritable components and genetic consequences," LSE Research Online Documents on Economics 127662, London School of Economics and Political Science, LSE Library.
    49. Kieron J. Barclay & Martin Hällsten, 2019. "Socioeconomic variation in child educational and socioeconomic attainment after parental death in Sweden," MPIDR Working Papers WP-2019-008, Max Planck Institute for Demographic Research, Rostock, Germany.
    50. Xiaoran Liang & Eleanor Sanderson & Frank Windmeijer, 2022. "Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator," Papers 2208.05278, arXiv.org.
    51. Hur, Yoon-Mi, 2020. "Relationships between cognitive abilities and prosocial behavior are entirely explained by shared genetic influences: A Nigerian twin study," Intelligence, Elsevier, vol. 82(C).
    52. Fletcher, Jason, 2023. "Decoupling genetics from attainments: The role of social environments," Economics & Human Biology, Elsevier, vol. 50(C).
    53. Evans, Linnea & Engelman, Michal & Mikulas, Alex & Malecki, Kristen, 2021. "How are social determinants of health integrated into epigenetic research? A systematic review," Social Science & Medicine, Elsevier, vol. 273(C).
    54. Jaakko Pehkonen & Jutta Viinikainen & Jaana T. Kari & Petri Böckerman & Terho Lehtimäki & Olli Raitakari, 2021. "Birth weight and adult income: An examination of mediation through adult height and body mass," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2383-2398, September.
    55. Cornelius A Rietveld & Ronald de Vlaming & Eric A W Slob, 2023. "The identification of mediating effects using genome-based restricted maximum likelihood estimation," PLOS Genetics, Public Library of Science, vol. 19(2), pages 1-17, February.
    56. Emil M. Pedersen & Esben Agerbo & Oleguer Plana-Ripoll & Jette Steinbach & Morten D. Krebs & David M. Hougaard & Thomas Werge & Merete Nordentoft & Anders D. Børglum & Katherine L. Musliner & Andrea G, 2023. "ADuLT: An efficient and robust time-to-event GWAS," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

  7. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.

    Cited by:

    1. Masahiro Matsunaga & Takahiko Masuda & Keiko Ishii & Yohsuke Ohtsubo & Yasuki Noguchi & Misaki Ochi & Hidenori Yamasue, 2018. "Culture and cannabinoid receptor gene polymorphism interact to influence the perception of happiness," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    2. Pankaj C. Patel & Cornelius A. Rietveld & Marcus T. Wolfe & Johan Wiklund, 2021. "The Polygenic Risk Score of Subjective Well-Being, Self-Employment, and Earnings Among Older Individuals," Entrepreneurship Theory and Practice, , vol. 45(2), pages 440-466, March.
    3. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Sven Oskarsson, 2022. "Occupational sorting on genes," Tinbergen Institute Discussion Papers 22-062/I, Tinbergen Institute, revised 29 Mar 2023.
    4. Das, Aniruddha, 2019. "Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States," Social Science & Medicine, Elsevier, vol. 242(C).
    5. Giorgia Menta & Anthony Lepinteur & Andrew E Clark & Simone Ghislandi & Conchita d'Ambrosio, 2021. "Maternal depression and child human capital: A genetic instrumental-variable approach," Working Papers halshs-03157270, HAL.
    6. Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2019. "The Impact of BMI on Mental Health: Further Evidence from Genetic Markers," GLO Discussion Paper Series 385, Global Labor Organization (GLO).
    7. Gueltzow, Maria & Lahtinen, Hannu & Bijlsma, Maarten J. & Myrskylä, Mikko & Martikainen, Pekka, 2024. "Genetic propensity to depression and the role of partnership status," Social Science & Medicine, Elsevier, vol. 351(C).
    8. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    9. Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2021. "Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies," Journal of Happiness Studies, Springer, vol. 22(5), pages 2361-2408, June.
    10. Priya Gupta & Marco Galimberti & Yue Liu & Sarah Beck & Aliza Wingo & Thomas Wingo & Keyrun Adhikari & Henry R. Kranzler & Murray B. Stein & Joel Gelernter & Daniel F. Levey, 2024. "A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology," Nature Human Behaviour, Nature, vol. 8(11), pages 2235-2249, November.
    11. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    12. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    13. Bernd Lachmann & Anna Doebler & Cornelia Sindermann & Rayna Sariyska & Andrew Cooper & Heidrun Haas & Christian Montag, 2021. "The Molecular Genetics of Life Satisfaction: Extending Findings from a Recent Genome-Wide Association Study and Examining the Role of the Serotonin Transporter," Journal of Happiness Studies, Springer, vol. 22(1), pages 305-322, January.
    14. Martin-Bassols, Nicolau & de New, John P. & de New, Sonja C. & Wong, Clement C., 2026. "Socioeconomic advantage as protection from genetic mental health risks," Social Science & Medicine, Elsevier, vol. 391(C).
    15. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    16. Margot P. Weijer & Dirk H. M. Pelt & Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2022. "A Re-evaluation of Candidate Gene Studies for Well-Being in Light of Genome-Wide Evidence," Journal of Happiness Studies, Springer, vol. 23(6), pages 3031-3053, August.
    17. Carcaba, Ana & Arrondo, Ruben & Gonzalez, Eduardo, 2022. "Does good local governance improve subjective well-being?," MPRA Paper 123247, University Library of Munich, Germany.
    18. Carcaba, Ana & Gonzalez, Eduardo & Arrondo, Ruben, 2023. "Effects of the political configuration of local governments on subjective well-being," MPRA Paper 123248, University Library of Munich, Germany.
    19. Mohsen Joshanloo, 2022. "Longitudinal Relations Between Depressive Symptoms and Life Satisfaction Over 15 Years," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 3115-3130, October.
    20. Yoonjung Yoonie Joo & Bo-Gyeom Kim & Gakyung Kim & Eunji Lee & Jungwoo Seo & Jiook Cha, 2025. "Polygenic architecture of brain structure and function, behaviors, and psychopathologies in children," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
    21. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    22. Alexander Neumann & Ilja M Nolte & Irene Pappa & Tarunveer S Ahluwalia & Erik Pettersson & Alina Rodriguez & Andrew Whitehouse & Catharina E M van Beijsterveldt & Beben Benyamin & Anke R Hammerschlag , 2022. "A genome-wide association study of total child psychiatric problems scores," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-23, August.
    23. Blanchflower, David G. & Bryson, Alex, 2022. "Taking the pulse of nations: A biometric measure of well-being," Economics & Human Biology, Elsevier, vol. 46(C).
    24. Buser, Thomas & Ahlskog, Rafael & Johannesson, Magnus & Koellinger, Philipp & Oskarsson, Sven, 2024. "The causal effect of genetic variants linked to cognitive and non-cognitive skills on education and labor market outcomes," Labour Economics, Elsevier, vol. 90(C).
    25. Xuefeng Li & Han Yang & Jin Jia, 2022. "Impact of energy poverty on cognitive and mental health among middle-aged and older adults in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    26. Ana Cárcaba & Eduardo González, 2024. "The relationship between income and subjective well-being: the case of Spain," Economics and Business Letters, Oviedo University Press, vol. 13(4), pages 203-212.
    27. Yingying Jiang & Chan Lu & Jing Chen & Yufeng Miao & Yuguo Li & Qihong Deng, 2022. "Happiness in University Students: Personal, Familial, and Social Factors: A Cross-Sectional Questionnaire Survey," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    28. Arrondo, Ruben & Carcaba, Ana & Gonzalez, Eduardo, 2021. "Drivers of Subjective Well-Being Under Different Economic Scenarios," MPRA Paper 123249, University Library of Munich, Germany.

  8. James McDonald & Patrick A. Turley & Jeff Sorensen, 2011. "Skewness and Kurtosis Properties of Income Distribution Models," LIS Working papers 569, LIS Cross-National Data Center in Luxembourg.

    Cited by:

    1. Karagiorgis, Ariston & Drakos, Konstantinos, 2022. "The Skewness-Kurtosis plane for non-Gaussian systems: The case of hedge fund returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    2. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
    3. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & AL-Dhurafi, Nasr Ahmed, 2020. "The power-law distribution for the income of poor households," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    4. McAleer, M.J. & Ryu, H.K. & Slottje, D.J., 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Econometric Institute Research Papers EI2017-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    6. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    7. Wang, Frank Xuyan, 2021. "Shape factor asymptotic analysis II," MPRA Paper 110827, University Library of Munich, Germany.
    8. Wang, Frank Xuyan, 2019. "Shape Factor Asymptotic Analysis I," MPRA Paper 93357, University Library of Munich, Germany.
    9. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    10. Jingjing Bai & Wei Gu & Xiaodong Yuan & Qun Li & Feng Xue & Xuchong Wang, 2015. "Power Quality Prediction, Early Warning, and Control for Points of Common Coupling with Wind Farms," Energies, MDPI, vol. 8(9), pages 1-18, August.
    11. Tomson Ogwang, 2022. "The Foster–Greer–Thorbecke Poverty Measures Reveal More," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1481-1503, December.
    12. Higbee, Joshua D. & Jensen, Jonathan E. & McDonald, James B., 2019. "The asymmetric log-Laplace distribution as a limiting case of the generalized beta distribution," Statistics & Probability Letters, Elsevier, vol. 151(C), pages 73-78.
    13. David Mauler & James McDonald, 2015. "Option Pricing and Distribution Characteristics," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 579-595, April.
    14. Marco Bee & Julien Hambuckers & Flavio Santi & Luca Trapin, 2021. "Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach," Computational Statistics, Springer, vol. 36(3), pages 2177-2200, September.
    15. Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano, 2020. "A functional approach to small area estimation of the relative median poverty gap," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1273-1291, June.
    16. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    17. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
    18. McDonald, James B. & Sorensen, Jeff, 2017. "Academic salary compression across disciplines and over time," Economics of Education Review, Elsevier, vol. 59(C), pages 87-104.
    19. Ariston Karagiorgis & Antonis Ballis & Konstantinos Drakos, 2024. "The Skewness‐Kurtosis plane for cryptocurrencies' universe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2543-2555, April.

Articles

  1. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2023. "Distributional Effects of Education on Health," Journal of Human Resources, University of Wisconsin Press, vol. 58(4), pages 1273-1306.
    See citations under working paper version above.
  2. Joel Becker & Casper A. P. Burik & Grant Goldman & Nancy Wang & Hariharan Jayashankar & Michael Bennett & Daniel W. Belsky & Richard Karlsson Linnér & Rafael Ahlskog & Aaron Kleinman & David A. Hinds , 2021. "Resource profile and user guide of the Polygenic Index Repository," Nature Human Behaviour, Nature, vol. 5(12), pages 1744-1758, December.

    Cited by:

    1. Jeong, Yeongmi, 2025. "The effect of peers’ genetic predisposition to depression on own mental health," Journal of Health Economics, Elsevier, vol. 104(C).
    2. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Sven Oskarsson, 2022. "Occupational sorting on genes," Tinbergen Institute Discussion Papers 22-062/I, Tinbergen Institute, revised 29 Mar 2023.
    3. A. Roy Thurik & David B. Audretsch & Jörn H. Block & Andrew Burke & Martin A. Carree & Marcus Dejardin & Cornelius A. Rietveld & Mark Sanders & Ute Stephan & Johan Wiklund, 2024. "The impact of entrepreneurship research on other academic fields," Small Business Economics, Springer, vol. 62(2), pages 727-751, February.
    4. Gerard J. van den Berg & Stephanie von Hinke & Nicolai Vitt, 2023. "Early life exposure to measles and later-life outcomes: Evidence from the introduction of a vaccine," Bristol Economics Discussion Papers 23/776, School of Economics, University of Bristol, UK.
    5. Hans Kippersluis & Pietro Biroli & Rita Dias Pereira & Titus J. Galama & Stephanie Hinke & S. Fleur W. Meddens & Dilnoza Muslimova & Eric A. W. Slob & Ronald Vlaming & Cornelius A. Rietveld, 2023. "Overcoming attenuation bias in regressions using polygenic indices," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Nicolau Martin-Bassols & Pietro Biroli & Elisabetta De Cao & Massimo Anelli & Stephanie von Hinke & Silvia Mendolia, 2026. "Tracing the Genetic Footprints of the UK National Health Service," Papers 2602.03751, arXiv.org.
    7. Bierut, Laura & Biroli, Pietro & Galama, Titus J. & Thom, Kevin, 2023. "Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking," Journal of Economic Psychology, Elsevier, vol. 98(C).
    8. Priya Gupta & Marco Galimberti & Yue Liu & Sarah Beck & Aliza Wingo & Thomas Wingo & Keyrun Adhikari & Henry R. Kranzler & Murray B. Stein & Joel Gelernter & Daniel F. Levey, 2024. "A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology," Nature Human Behaviour, Nature, vol. 8(11), pages 2235-2249, November.
    9. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    10. Edwards, Tobias & Giannelis, Alexandros & Willoughby, Emily A. & Lee, James J., 2024. "Predicting political beliefs with polygenic scores for cognitive performance and educational attainment," Intelligence, Elsevier, vol. 104(C).
    11. von Hinke, Stephanie & Sørensen, Emil N., 2023. "The long-term effects of early-life pollution exposure: Evidence from the London smog," Journal of Health Economics, Elsevier, vol. 92(C).
    12. Pereira, Rita & Biroli, Pietro & von hinke, stephanie & Van Kippersluis, Hans & Galama, Titus & Rietveld, Niels & Thom, Kevin, 2022. "Gene-Environment Interplay in the Social Sciences," OSF Preprints d96z3, Center for Open Science.
    13. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Working Papers 2022-005, Human Capital and Economic Opportunity Working Group.
    14. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Philipp Koellinger & Sven Oskarsson, 2021. "Using Genes to Explore the Effects of Cognitive and Non-cognitive Skills on Education and Labor Market Outcomes," Tinbergen Institute Discussion Papers 21-088/I, Tinbergen Institute, revised 29 Mar 2023.
    15. Daniel J. Benjamin & David Cesarini & Patrick Turley & Alexander Strudwick Young, 2024. "Social-Science Genomics: Progress, Challenges, and Future Directions," NBER Working Papers 32404, National Bureau of Economic Research, Inc.
    16. Buser, Thomas & Ahlskog, Rafael & Johannesson, Magnus & Koellinger, Philipp & Oskarsson, Sven, 2024. "The causal effect of genetic variants linked to cognitive and non-cognitive skills on education and labor market outcomes," Labour Economics, Elsevier, vol. 90(C).
    17. Richard Karlsson Linnér & Manisha Jain, 2025. "“The risks cannot be compensated”: The willingness to donate DNA for science and its relationship with economic preferences," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 515-547, May.
    18. Marco Francesconi & Stephanie von Hinke & Emil N. S{o}rensen, 2026. "The long-run returns to breastfeeding," Papers 2602.03221, arXiv.org.

  3. Loic Yengo & Matthew R. Robinson & Matthew C. Keller & Kathryn E. Kemper & Yuanhao Yang & Maciej Trzaskowski & Jacob Gratten & Patrick Turley & David Cesarini & Daniel J. Benjamin & Naomi R. Wray & Mi, 2018. "Imprint of assortative mating on the human genome," Nature Human Behaviour, Nature, vol. 2(12), pages 948-954, December.

    Cited by:

    1. Fartein Ask Torvik & Espen Moen Eilertsen & Laurie J. Hannigan & Rosa Cheesman & Laurence J. Howe & Per Magnus & Ted Reichborn-Kjennerud & Ole A. Andreassen & Pål R. Njølstad & Alexandra Havdahl & Eiv, 2022. "Modeling assortative mating and genetic similarities between partners, siblings, and in-laws," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Hans Fredrik Sunde & Nikolai Haahjem Eftedal & Rosa Cheesman & Elizabeth C. Corfield & Thomas H. Kleppesto & Anne Caroline Seierstad & Eivind Ystrom & Espen Moen Eilertsen & Fartein Ask Torvik, 2024. "Genetic similarity between relatives provides evidence on the presence and history of assortative mating," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Kelly, Kristen M. & Horwitz, Tanya B. & Keller, Matthew C., 2025. "Criteria for detection of married or cohabiting couples in the UK Biobank," Social Science & Medicine, Elsevier, vol. 383(C).
    4. Kenichi Yamamoto & Kyuto Sonehara & Shinichi Namba & Takahiro Konuma & Hironori Masuko & Satoru Miyawaki & Yoichiro Kamatani & Nobuyuki Hizawa & Keiichi Ozono & Loic Yengo & Yukinori Okada, 2023. "Genetic footprints of assortative mating in the Japanese population," Nature Human Behaviour, Nature, vol. 7(1), pages 65-73, January.
    5. Yengo, Loic & Visscher, Peter M., 2018. "Assortative mating on complex traits revisited: Double first cousins and the X-chromosome," Theoretical Population Biology, Elsevier, vol. 124(C), pages 51-60.
    6. Hans Fredrik Sunde & Espen Moen Eilertsen & Fartein Ask Torvik, 2025. "Understanding indirect assortative mating and its intergenerational consequences for educational attainment," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    7. Jennifer Sjaarda & Zoltán Kutalik, 2023. "Partner choice, confounding and trait convergence all contribute to phenotypic partner similarity," Nature Human Behaviour, Nature, vol. 7(5), pages 776-789, May.

  4. Jeffrey T. Denning & Patrick Turley, 2017. "Was That SMART?: Institutional Financial Incentives and Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 152-186.

    Cited by:

    1. Kevin J. Mumford & Richard W. Patterson & Anthony Yim, 2024. "College Course Shutouts," CESifo Working Paper Series 11005, CESifo.
    2. Drew M. Anderson & Katharine M. Broton & Sara Goldrick‐Rab & Robert Kelchen, 2020. "Experimental Evidence on the Impacts of Need‐Based Financial Aid: Longitudinal Assessment of the Wisconsin Scholars Grant," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 720-739, June.
    3. Haggag, Kareem & Patterson, Richard W. & Pope, Nolan G. & Feudo, Aaron, 2021. "Attribution bias in major decisions: Evidence from the United States Military Academy," Journal of Public Economics, Elsevier, vol. 200(C).
    4. Richard W. Patterson & Nolan G. Pope & Aaron Feudo, 2019. "Timing is Everything: Evidence from College Major Decisons," CESifo Working Paper Series 7448, CESifo.
    5. Sjoquist, David L. & Winters, John V., 2015. "The Effect of Georgia's HOPE Scholarship on College Major: A Focus on STEM," IZA Discussion Papers 8875, IZA Network @ LISER.
    6. Winters, John V., 2013. "STEM Graduates, Human Capital Externalities, and Wages in the U.S," IZA Discussion Papers 7830, IZA Network @ LISER.
    7. Bleemer, Zachary, 2020. "Affirmative Action, Mismatch, and Economic Mobility After California’s Proposition 209," University of California at Berkeley, Center for Studies in Higher Education qt2w21n06w, Center for Studies in Higher Education, UC Berkeley.
    8. Avery, Christopher & Gurantz, Oded & Hurwitz, Michael & Smith, Jonathan, 2016. "Shifting College Majors in Response to Advanced Placement Exam Scores," Working Paper Series rwp16-058, Harvard University, John F. Kennedy School of Government.
    9. Gregory Gilpin & Michael Kofoed, 2020. "Employer-Sponsored Education Assistance and Graduate Program Choice, Cost, and Finance," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 431-458, June.
    10. Yanqing Ding & Wei Li & Xin Li & Yinduo Wu & Jin Yang & Xiaoyang Ye, 2021. "Heterogeneous Major Preferences for Extrinsic Incentives: The Effects of Wage Information on the Gender Gap in STEM Major Choice," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1113-1145, December.
    11. Peter Bergman & Jeffrey T. Denning & Dayanand Manoli, 2019. "Is Information Enough? The Effect of Information about Education Tax Benefits on Student Outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(3), pages 706-731, June.
    12. John V. Winters, 2017. "Do Native STEM Graduates Increase Innovation? Evidence from U.S. Metropolitan Areas," Economics Working Paper Series 1714, Oklahoma State University, Department of Economics and Legal Studies in Business.
    13. Margaret E. Blume‐Kohout & Jacob P. Scott, 2022. "Incentivizing STEM participation: Evidence from the SMART Grant Program," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 373-405, October.
    14. Canaan, Serena & Deeb, Antoine & Mouganie, Pierre, 2019. "Advisor Value-Added and Student Outcomes: Evidence from Randomly Assigned College Advisors," IZA Discussion Papers 12739, IZA Network @ LISER.
    15. James C. Davis & Holden A. Diethorn & Gerald R. Marschke & Andrew J. Wang, 2021. "STEM Employment Resiliency During Recessions: Evidence from the COVID-19 Pandemic," NBER Working Papers 29568, National Bureau of Economic Research, Inc.
    16. Sarah Lynne Stafford, 2025. "How Is Climate Change Impacting the Educational Choices and Career Plans of Undergraduates?," Sustainability, MDPI, vol. 17(14), pages 1-18, July.
    17. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    18. Zachary Bleemer & Aashish Mehta, 2024. "College Major Restrictions and Student Stratification," CESifo Working Paper Series 11601, CESifo.
    19. Davis, James C. & Diethorn, Holden A. & Marschke, Gerald R. & Wang, Andrew J., 2026. "STEM employment resiliency during recessions: Evidence from the COVID-19 Pandemic," Research Policy, Elsevier, vol. 55(1).
    20. Winters, John V., 2014. "Foreign and Native-Born STEM Graduates and Innovation Intensity in the United States," IZA Discussion Papers 8575, IZA Network @ LISER.

  5. Aysu Okbay & Jonathan P. Beauchamp & Mark Alan Fontana & James J. Lee & Tune H. Pers & Cornelius A. Rietveld & Patrick Turley & Guo-Bo Chen & Valur Emilsson & S. Fleur W. Meddens & Sven Oskarsson & Jo, 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Nature, Nature, vol. 533(7604), pages 539-542, May.
    See citations under working paper version above.
  6. James B. Mcdonald & Jeff Sorensen & Patrick A. Turley, 2013. "Skewness And Kurtosis Properties Of Income Distribution Models," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 360-374, June.
    See citations under working paper version above.
  7. McDonald, James B. & Turley, Patrick, 2011. "Distributional Characteristics: Just a Few More Moments," The American Statistician, American Statistical Association, vol. 65(2), pages 96-103.

    Cited by:

    1. Jason Cook & James McDonald, 2013. "Partially Adaptive Estimation of Interval Censored Regression Models," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 119-131, June.
    2. David Mauler & James McDonald, 2015. "Option Pricing and Distribution Characteristics," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 579-595, April.
    3. Hui Tian & Andrew Yim & David P. Newton, 2021. "Tail-Heaviness, Asymmetry, and Profitability Forecasting by Quantile Regression," Management Science, INFORMS, vol. 67(8), pages 5209-5233, August.

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